Unverified50% confidenceFactExact time
NeoHorse's training data is fed into the model in order of difficulty, accumulating capabilities in a progression from easy to hard.
1
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50%
Confidence
Long-term
Relevance
9/16/2026
First Seen
Sources
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Related Claims
UnverifiedIn the second round of training, NeoHorse has a more powerful teacher model observe and correct its attempts in real time, rather than directly providing pre-written standard answers.76% similarUnverified实验表明按由易到难顺序喂给模型训练样本能加速收敛并学到更鲁棒的特征表示，性能优于随机打乱顺序的训练71% similarUnverifiedTraditional large model training relies heavily on manually annotated data and external corpus collection, which are typically the bottlenecks constraining iteration speed.66% similarUnverifiedTrigger-based retraining (based on performance degradation monitoring and data drift detection) can replace scheduled full retraining, directing computational resources precisely where they are truly needed66% similar
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